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  • EMCOR’s 43.9% Backlog Jump Shows AI Data Center Builds Hinge on Contractor Throughput

    EMCOR’s 43.9% Backlog Jump Shows AI Data Center Builds Hinge on Contractor Throughput

    TL;DR · 30-second read

    The Short Version

    The giant computer warehouses being built for artificial intelligence need armies of electricians, pipefitters and steelworkers. The companies that supply them are signing jobs faster than they can finish them.

    EMCOR, one of the biggest, has about $17 billion of signed work waiting. That is up 44% in a year, while its sales grew about 20%.

    A smaller rival, IES Holdings, just spent $691 million, mostly borrowed, to buy a steel builder with about 4,000 workers. In this boom, the hard part is not winning work. It is having the people and workshops to do it.

    IES Holdings (NASDAQ: IESC) closed its acquisition of DBM Global on October 5, 2026, for total consideration of about $691 million: roughly $545 million in cash and 430,974 IES shares valued at about $146 million. In an 8-K filed October 6, IES said it funded the cash with cash on hand and $525 million of borrowings under a credit agreement it amended the same day to raise borrowing capacity to $700 million. DBM, a structural steel fabricator and erector with about 4,000 employees, generated about $1.5 billion of revenue in the twelve months ended June 30, 2026.

    The deal lands as data center construction drives growth across specialty contracting. Insider Monkey reported that EMCOR Group (NYSE: EME), in its July 30 second-quarter results, posted revenue of $5.15 billion, up 19.8%, while its remaining performance obligations—signed work not yet performed—rose 43.9% to $17.14 billion. IES’s fiscal third-quarter revenue rose 40% to $1.24 billion, led by a 51% jump in its data center–driven Communications segment.

    Executive Summary

    IES Holdings has made its largest acquisition to date, paying about $691 million for DBM Global, which IES describes as one of the largest independent structural steel fabrication and erection platforms in the US. The deal turns an electrical and technology-systems contractor into one that can also engineer, fabricate and erect a building’s steel frame, and IES says it will offer the combination to data center, industrial and infrastructure customers.

    The timing matters because the sector’s order books are expanding faster than its output. EMCOR, the larger rival, grew its backlog 43.9% against 19.8% revenue growth. When signed work outpaces completed work, the pace of data center construction depends increasingly on the contractor side—the skilled crews, fabrication shops and project managers who turn contracts into finished buildings. IES’s purchase brings in about 4,000 employees and more than 2 million square feet of facilities, financed largely with $525 million of bank borrowing.

    For investors, the two companies now frame a choice: EMCOR’s demonstrated conversion of demand into profit at a lower earnings multiple, or IES’s faster growth, which now carries integration and debt-repayment tests.

    EMCOR’s Order Book Is Growing Twice as Fast as Its Revenue

    In EMCOR’s July 30 results, quarterly revenue rose 19.8% to $5.15 billion, while remaining performance obligations rose 43.9% to $17.14 billion. For a contractor, revenue largely reflects work actually put in place during the period; remaining performance obligations are contracted work still to be done. When the second grows more than twice as fast as the first, signed work is accumulating faster than crews, shops and project teams are converting it. The arithmetic makes the point concrete: at the second-quarter pace, $17.14 billion equals about 3.3 quarters of revenue. The year-earlier figures implied by those growth rates put the ratio near 2.8 quarters.

    There are two fair readings of that gap. Larger, multi-year campus contracts naturally lengthen a backlog, and the $17.14 billion is a company-wide figure spanning all of EMCOR’s markets, not data centers alone. But both readings lead to the same operational conclusion: once work is booked well ahead of output, the speed at which buildings get finished is set by contractor throughput—skilled labor, procurement and project management—rather than by the availability of contracts. EMCOR has so far converted efficiently. Earnings per share rose 34.8% to $9.06, faster than revenue, operating income reached $547.3 million at a 10.6% margin, and management raised full-year guidance to $32–$33.25 per share.

    The consequences run in several directions. For data center developers and cloud operators, the contractor’s calendar becomes part of the project timeline alongside power and equipment. For contractors, a backlog becomes profit only if costs stay within contract assumptions, and a larger book carried by the same workforce raises execution risk. For investors, the number to watch is conversion—margin on work completed—rather than the volume booked.

    What IES’s $691 Million Actually Buys

    Read against that backdrop, the DBM Global acquisition is a purchase of delivery capacity. IES’s announcement lists about 4,000 employees, more than 2 million square feet of fabrication and operating facilities, and brands including Schuff Steel, Banker Steel, GrayWolf, DBM Vircon and Aitken. On the disclosed figures, IES paid roughly 0.46 times DBM’s trailing $1.5 billion of revenue, or about $173,000 per employee. What that buys is an operating platform—trained crews, shops and customer relationships that DBM CEO Rustin Roach says in many cases go back decades—that cannot be assembled quickly from scratch.

    The strategic logic is a second trade on the same job site. A data center needs a structural steel frame and dense electrical systems, and IES CEO Matt Simmes said the combined company will offer a broader range of products and services, particularly in data center, industrial and infrastructure markets. A contractor that can deliver both can compete for a larger share of each project’s construction budget. Whether customers prefer to buy the two trades as a bundle is not yet demonstrated, and that is the commercial test the acquisition sets.

    The financing is equally telling. A Wells Fargo-led bank group expanded IES’s facility to $700 million—a $200 million term loan and a $500 million revolver—and $525 million of borrowings covered most of the cash. In this deal, credit was the readily available input. The scarcer one was a structural steel business already operating at scale, and IES paid a full price, in cash and shares, to own it rather than build it.

    Two Ways to Price the Same Build-Out

    At October 5 prices, consensus forward earnings multiples were about 22 times for EMCOR and 27 times for IES—a forward multiple being the share price divided by expected earnings per share. At about $779, EMCOR traded near 24 times the midpoint of its raised guidance. The case for EMCOR rests on operating leverage: earnings growing faster than revenue suggests added work is lifting profitability, not just volume.

    The case for IES rests on its data center exposure. Communications revenue, supported primarily by data centers, rose 51% to $453.1 million with $83.6 million of operating income—a segment margin of about 18%. Consolidated growth is less clean: Infrastructure Solutions benefited from the addition of Gulf Island, and Residential revenue fell 6%. DBM now adds roughly $1.5 billion of structural steel revenue whose margins IES has yet to report, and the company has moved from a debt-free balance sheet in June to $525 million of acquisition borrowing. Executive Chairman Jeff Gendell said IES expects substantial cash flow from both businesses to allow it to rapidly repay those borrowings.

    The risks are mirror images. EMCOR’s is extrapolating unusually favorable execution across a backlog that is growing faster than its revenue. IES’s is integration plus leverage, layered on the same execution demands. Both ultimately depend on the variable the backlog numbers highlight: the ability to deliver the work already won.

    Background

    EMCOR Group is a large US specialty contractor whose electrical and mechanical work—power distribution, cooling and piping—sits inside the buildings it serves, including data centers. Specialty contractors are hired by developers and general contractors to install the systems that make a building function. In AI data centers, more powerful computing racks change not just the equipment bill but the electrical and mechanical installation work surrounding them, which is why these firms have become direct beneficiaries of the build-out.

    IES Holdings, based in the Houston area, designs and installs integrated electrical and technology systems and provides infrastructure services; with DBM it now also engineers, fabricates and erects structural steel, and it has more than 16,000 employees. DBM Global was majority-owned by INNOVATE Corp. before the sale. IES signed the transaction agreement on August 7, 2026, and closed on October 5.

    Sources

    Source: EMCOR vs. IES Holdings: Does a $691 Million Deal Change the Better Buy? (Insider Monkey) — a comparison of the two contractors’ data center-driven growth, backlog and valuations after IES closed its DBM Global acquisition.

    Primary sources: IES Holdings Form 8-K filed October 6, 2026; IES Holdings press release, “IES Holdings Completes Acquisition of DBM Global” (Exhibit 99.1).

  • IES’s $691M Steel Buy Aims to Sell AI Data Centers the Frame and the Wiring

    IES’s $691M Steel Buy Aims to Sell AI Data Centers the Frame and the Wiring

    TL;DR · 30-second read

    The Short Version

    IES Holdings, a Texas company that wires buildings, including the giant computer warehouses that run artificial intelligence, has bought a company that makes and puts up the steel skeletons of those buildings.

    It paid about $691 million, much of it borrowed, for a business with about 4,000 workers and roughly $1.5 billion in yearly sales.

    The bet is that companies racing to build these computer warehouses would rather hire one firm for both the steel frame and the wiring. That bet has not been proven yet.

    IES Holdings (NASDAQ: IESC) completed its acquisition of DBM Global on October 5, 2026, for total consideration of approximately $691 million. That consisted of about $545 million in cash and 430,974 IES shares valued at about $146 million, subject to customary working-capital and other post-closing adjustments. DBM Global is a Phoenix-based structural steel fabrication and erection company with roughly $1.5 billion in revenue for the twelve months ended June 30, 2026, and about 4,000 employees.

    In an 8-K filed October 6, IES said it funded the cash portion with cash on hand and $525 million of borrowings under a credit agreement that was amended the same day to provide $700 million of capacity. DBM Global now operates as a new Structural line of business within IES.

    Executive Summary

    IES has historically been an electrical and technology systems contractor. With this deal, its largest acquisition to date according to Executive Chairman Jeff Gendell, it adds one of the larger independent US structural steel platforms. Fabrication means cutting, drilling and welding steel beams and columns in a shop. Erection means lifting them into place on site to form a building’s frame. DBM Global brings five brands, including Schuff Steel and Banker Steel, along with more than 2 million square feet of fabrication and operating facilities.

    The strategic logic is stated plainly in the company’s announcement. CEO Matt Simmes said IES intends to work with DBM Global to offer a broader range of products and services to the combined customer base, “particularly in data center, industrial and infrastructure markets.” In other words, IES wants to sell the building’s skeleton and its electrical nervous system to the same customer. That pitch matters most in data center construction, where schedules are tight and many trades must be coordinated.

    The financing is also significant. IES borrowed $525 million against a facility that now totals $700 million, and it paid roughly a fifth of the price in its own stock. Investors will be watching how quickly the company follows through on its stated aim to rapidly repay that debt from operating cash flow.

    Why an Electrical Contractor Wants a Steel Erector

    A data center is a building before it is a computer facility. The structural steel frame typically has to be fabricated and erected before electrical gear, cable trays and power distribution can be installed in earnest. IES already designs and installs electrical and technology systems for data centers. DBM Global supplies structural steel and erection services to data center projects, among other end markets. Putting both under one corporate roof gives IES the ability to offer a customer two of the earliest and most schedule-sensitive packages on a project, rather than only one.

    The company’s own words frame the deal this way. Simmes cited data center markets first in describing where the combined business would cross-sell, and DBM Global CEO Rustin Roach spoke of working alongside IES’s other segments to “bring additional capabilities and capacity to our customers’ projects.” The scale is meaningful. DBM Global’s roughly 4,000 employees amount to about a quarter of IES’s combined workforce of more than 16,000, and DBM’s $1.5 billion in trailing revenue makes the Structural line a substantial addition alongside Communications, Residential, Infrastructure Solutions and Commercial & Industrial.

    What the title calls an aim is still exactly that. DBM Global also serves commercial, industrial, stadium and infrastructure customers, and neither company has broken out how much of DBM’s revenue comes from data centers. Bundled steel-and-electrical contracts are a stated intention, not a reported result. The thesis is coherent, but the evidence that data center developers will award work this way will come from future contract announcements and segment disclosures.

    How the $691 Million Was Paid For

    The 8-K lays out the financing in detail. About $545 million was paid in cash, including a $35 million payment to INNOVATE Corp., which held about 91.2% of DBM Global. That payment covers INNOVATE’s estimated cost of joining a Section 338(h)(10) election, a US tax election that treats a stock purchase as an asset purchase for tax purposes. It generally gives the buyer a higher tax basis in the acquired assets, and therefore potentially larger future deductions. The remaining roughly $146 million was paid in 430,974 IES shares, a count that reflects IES’s two-for-one stock split on August 21, 2026.

    To fund the cash, IES amended its Wells Fargo-led credit agreement on October 5. Borrowing capacity rose to $700 million, split between a $200 million term loan (repaid on a schedule) and a $500 million revolving credit facility (a reusable corporate credit line), and IES drew $525 million. The acquired DBM subsidiaries were added as guarantors, meaning their assets now support the loan. Gendell said IES was “deliberate” in mixing cash, borrowings and equity to protect its balance sheet, and that he expects substantial cash flow from both businesses to allow IES to “rapidly repay acquisition-related borrowings.”

    On headline numbers, IES paid less than half of DBM Global’s trailing twelve-month revenue. That ratio says little on its own, because construction and fabrication businesses can run on thin margins, and DBM’s profitability has not yet been disclosed. IES said DBM’s financial statements and pro forma combined figures will be filed by amendment within 71 days. Those filings will be the first real test of the purchase price.

    Who Gains, and What Could Change the Math

    INNOVATE exits its majority position with cash plus the tax-election payment. IES gains a scaled fabrication footprint it would have taken years to build organically. The lending group led by Wells Fargo now has a larger, more diversified borrower. For data center developers, the combination could mean one more counterparty able to take on both steel and electrical scope. Whether that improves schedules or simply concentrates risk with a single contractor will depend on execution.

    The risks are the ordinary ones for a large construction deal, amplified by size. Integration of five established steel brands into an electrical-focused company is a management challenge. Structural steel demand tends to track the broader construction cycle, and DBM’s exposure to stadiums and commercial work cuts both ways: it diversifies away from data centers, but it also dilutes the AI-driven growth story. Leverage taken on to close the deal makes cash conversion over the next several quarters more important than usual.

    Background

    IES Holdings, headquartered in Sugar Land, Texas, and listed on NASDAQ as IESC, designs and installs integrated electrical and technology systems and provides infrastructure services across data center, residential, commercial, industrial and infrastructure markets. Before this deal it reported four segments: Communications, Residential, Infrastructure Solutions, and Commercial & Industrial. The company effected a two-for-one stock split on August 21, 2026.

    DBM Global, based in Phoenix, was majority-owned by INNOVATE Corp. (NYSE: VATE) until this sale. IES signed the transaction agreement on August 7, 2026, and filed it with an 8-K on August 11. DBM Global’s brands have supplied structural steel and erection services to many prominent US projects, including stadiums, industrial plants and data centers.

    Sources

    Source: IES Holdings stock follows USD 691 million DBM acquisition — AD HOC NEWS on IES Holdings’ completed purchase of DBM Global.

    Primary sources: IES Holdings, Inc. Form 8-K filed October 6, 2026 (SEC EDGAR); IES Holdings Completes Acquisition of DBM Global, Exhibit 99.1 press release, October 5, 2026 (SEC EDGAR).

  • Rexel Buys $1.1B-Revenue GCG, Betting Data Center Cable Is an Engineering Sale

    Rexel Buys $1.1B-Revenue GCG, Betting Data Center Cable Is an Engineering Sale

    TL;DR · 30-second read

    The Short Version

    • Rexel, a giant European seller of electrical supplies, is buying GCG, a Chicago company that supplies specialized wire and cable.
    • GCG expects more than $1.1 billion in sales this year. Its customers include data centers, the warehouse-sized buildings full of computers that run the internet and artificial intelligence, plus power networks and the military.
    • What Rexel is really buying is expertise: GCG’s engineers design and prepare cable to order for demanding building projects.
    • The price has not been made public.

    GCG, a Chicago-based specialty wire and cable distributor, announced on September 25, 2026, in a release distributed by PR Newswire, that Rexel is acquiring it from Audax Private Equity. The transaction is expected to close by year end, subject to regulatory approvals and customary conditions. Financial terms were not disclosed.

    GCG operates in North America and Europe through 16 locations with more than 950 employees and expects to exceed $1.1 billion in revenue in 2026. Rexel, a publicly held distributor of energy-management products, reported €19.4 billion in 2025 sales across 1,876 branches in 17 countries.

    Executive Summary

    Rexel is buying a distributor whose selling point is not inventory but engineering. GCG runs two segments, Custom Engineered Solutions and Connectivity & Power Solutions, and describes its model as engineer-led, value-added distribution of wire, cable and connectivity products. Its customers span data centers, power infrastructure, defense, building systems, water, telecom and industrial markets.

    Rexel’s stated reasons are specific: to extend its presence in high-growth, mission-critical markets, naming data centers and power infrastructure first, and to bring GCG’s engineering-led model and proprietary product portfolio into its larger platform. That framing matters more than GCG’s size. At just over $1.1 billion in revenue against Rexel’s €19.4 billion, GCG is a targeted capability purchase rather than a transformational one.

    The central open question is price. Without a purchase figure, financing details or GCG’s profitability, outsiders cannot judge how much Rexel is paying for data center exposure versus the underlying distribution business.

    What Rexel Is Actually Buying: Engineers at the Cable Reel

    Electrical distribution is often a volume business: stock common products, run many branches, deliver fast. GCG looks different. It serves more than $1.1 billion in expected revenue from just 16 locations, while Rexel runs 1,876 branches. A small number of specialist sites generating that revenue points to a model built around project work, not counter sales. GCG’s own segment name, Custom Engineered Solutions, and its description of ‘engineer-led, value-added’ service say the same thing.

    In cable, value-added distribution typically means work done before the product ships: cutting to specified lengths, assembling or kitting components, and helping customers specify the right cable for a job. On large, mission-critical projects such as data centers and power facilities, cabling is specified to project requirements and delivered on construction schedules, so a distributor that can engineer and prepare it takes on work that would otherwise fall to contractors or manufacturers.

    That is the capability Rexel names in its rationale: GCG’s ‘engineering-led, value-added distribution model and proprietary product portfolio.’ Rexel is not describing a need for more warehouse space or more product lines. It is describing a need for engineering capacity attached to cable, aimed first at data center and power customers. The bet is that in those markets, the sale is won on specification and preparation, and that this capability can be scaled across Rexel’s much larger network.

    A Small Deal by Size, a Pointed One by Market

    GCG’s expected 2026 revenue is well under a tenth of Rexel’s 2025 sales, so this acquisition will not reshape Rexel’s overall results. Its significance lies in direction. When a distributor of Rexel’s scale names data centers and power infrastructure as the markets it wants more of, it signals where it expects demand growth to come from.

    That expectation is consistent with the broader construction cycle in data centers, much of it driven by cloud computing and artificial intelligence, which requires large quantities of power and connectivity cabling. The release, however, does not say how much of GCG’s revenue comes from data centers. GCG lists seven end markets, including defense, water and building systems, so its data center exposure could be substantial or modest. Readers should treat the deal as a bet on data center growth, not evidence of how large GCG’s share of that market already is.

    The Private Equity Roll-Up Behind the Deal

    GCG is the product of a classic buy-and-build strategy. Audax acquired it as a carve-out of Genuine Parts Company’s Electrical Specialties Group, then expanded it through acquisitions including United Wire & Cable, CableMaster, RWL, Paige and Allied Wire & Cable. GCG says it grew to more than $1.1 billion in revenue since 2019 through both organic growth and those add-ons.

    For Rexel, that history cuts two ways. GCG has experience integrating acquired businesses and operates through local brands, which suggests customer relationships that sit with those brands. But the release does not separate organic growth from acquired revenue, so the underlying growth rate of the business Rexel is buying is not visible. A roll-up that grew mainly through purchases carries different risks from one that grew mainly by winning customers.

    Who Gains, and What Could Go Wrong

    Contractors and developers building data centers and power sites could gain a single channel that combines GCG’s engineered cable services with Rexel’s scale, if integration goes as described. Cable manufacturers will see further consolidation among the distributors that sell their products, which can shift purchasing leverage toward larger buyers.

    The main risks are concentration and integration. A business positioned for data center growth is exposed to any slowdown in that construction cycle, and engineering-led operations depend on retaining the specialists who do the work. GCG’s CEO emphasized its people and culture in announcing the sale; keeping that capability intact inside a 26,306-employee group will determine whether Rexel gets what it is paying for.

    Background

    Rexel is a publicly held distributor of electrical and energy-management products serving residential, non-residential and industrial customers for construction, renovation, production and maintenance. It operates 1,876 branches in 17 countries with 26,306 employees and reported €19.4 billion in 2025 sales.

    GCG began as Genuine Parts Company’s Electrical Specialties Group before Audax Private Equity acquired it in a carve-out. Under Audax, it expanded through organic growth and a series of acquisitions into a specialty wire, cable and connectivity distributor with 16 locations in North America and Europe, more than 950 employees and expected 2026 revenue above $1.1 billion.

    Sources

    Source: Rexel to Acquire GCG, a Leading Specialty Wire & Cable Distribution Platform — GCG’s announcement, via PR Newswire, of its sale by Audax Private Equity to Rexel.

  • Green Mountain’s 100 MW Buildots Rollout Treats the Build Schedule as AI’s Scarce Input

    Green Mountain’s 100 MW Buildots Rollout Treats the Build Schedule as AI’s Scarce Input

    TL;DR · 30-second read

    The Short Version

    Building a large data center is closer to building a small power station than an office block, and running late is expensive.

    Green Mountain, a company that builds data centres in Norway, Germany and the United Kingdom using only renewable electricity, has brought in a software firm called Buildots. Cameras worn around the site and drones flying over it record what has actually been built, and the software compares that against the plan and flags delays early.

    It is already running on two sites, in Germany and Norway, that together will draw about as much electricity as a small city.

    Buildots announced on September 22 an enterprise agreement with Green Mountain, the Norwegian developer and operator of sustainable data centers, covering the rollout of its construction intelligence platform across Green Mountain’s project portfolio. The platform is already live on two projects totalling more than 100 megawatts, in Frankfurt, Germany and Stavanger, Norway, with further expansion planned.

    Under the agreement, Buildots covers much of the project lifecycle, from superstructure through to fitout, combining 360-degree site cameras with drone imagery to generate progress data and early risk insights. Neither company disclosed contract value, duration, or the number of future projects covered.

    Executive Summary

    The commercial substance here is small in dollar terms — no value was disclosed — but the operational signal is specific. A developer that markets itself on energy efficiency and 100% renewable power has decided that the next efficiency to chase is delivery: getting megawatts finished on the date it promised them.

    That reflects where the constraint has moved. In a market where land, grid connections and equipment lead times are all contested, the one variable a developer directly controls is how well it executes a build it has already financed and permitted. Green Mountain’s Chief Design & Construction Officer, David Guth, framed the outcome as a repeatable “playbook” — consistent methodology, consistent visibility, consistent outcomes — rather than a one-project tool.

    For the wider sector, the deal is a data point on the adoption curve of construction intelligence: Buildots CEO Roy Danon described the category as moving “from something experimental to a must-have” among developers and colocation providers. That is a vendor’s characterisation of its own market, and the release offers no adoption statistics to test it — but the named customer list behind it is not trivial.

    Why the Schedule Became the Scarce Input

    A data center megawatt earns nothing until it is energized and handed over. That sounds obvious, but it has become the binding economic fact of the current buildout. Chips, transformers, switchgear and grid capacity all have queues, and a developer can do relatively little about any of them once orders are placed. What a developer does control is the twelve to thirty months between breaking ground and commissioning — and that window is where schedule slips accumulate quietly, discovered at milestone reviews rather than in the week they happen.

    The mechanism Buildots sells is the compression of that discovery lag. Helmet-mounted 360-degree cameras and drone flights capture what physically exists on site; the platform compares that record against the plan and the schedule and surfaces deviations as progress data rather than as a contractor’s monthly narrative. Applied from superstructure through fitout, as this agreement specifies, it covers the phases where data center schedules actually go wrong: not the shell, but the long tail of electrical rooms, mechanical plant and cable containment that determines the energization date.

    At the 100-plus megawatts already live in Frankfurt and Stavanger, the arithmetic of that lag is what makes the deal interesting. A month of undetected slip on a 100 megawatt asset is a month in which financed, permitted, powered capacity produces nothing — and, in a tight market, a month a tenant waits. The release says the platform gives Green Mountain “greater control over its capital investment” and “early visibility to protect the delivery dates that matter most.” Stripped of marketing register, that is a claim about converting schedule risk from a narrative into a measurement. The parties affected extend past the owner: general contractors whose progress claims are now checked against imagery, subcontractors sequenced around a shared view of site reality, and lenders and tenants who price a delivery date they cannot themselves inspect.

    Sustainability Discipline Moves Upstream Into the Build

    Green Mountain’s public identity rests on operations: 100% renewable power, world-leading energy efficiency, sites in Norway where cool climate and hydropower do much of the work. The release makes an explicit move to extend that discipline backwards into construction, with Danon tying the platform to “sustainability goals through more efficient construction.”

    The logic is sound in principle. Construction waste, rework and idle plant carry a real carbon and cost load, and a facility’s embodied emissions are fixed before a single server racks up. But the release supplies no measurement of it — no tonnes avoided, no rework percentage, no reduction in schedule variance. Operational efficiency at Green Mountain is a metered, auditable claim; construction efficiency here is, so far, an argument rather than a number.

    The geography is worth noting on its own. Running the same methodology across Stavanger and Frankfurt means applying one toolset to two very different delivery environments — Nordic sites with abundant renewable power and lower land pressure, and a Frankfurt market that is among Europe’s most constrained on power and permitting. A playbook that survives both is more portable than one proven in a single jurisdiction.

    What This Proves About Construction Intelligence — and What It Doesn’t

    Buildots describes itself as “emerging as a gold standard” for schedule-critical builds and cites Turner Construction, JE Dunn, Intel, HOCHTIEF and Bouygues among its users. Those are substantial names, and the company separately announced a $130 million funding round explicitly tied to the data center buildout. That establishes credible commercial traction.

    It does not, by itself, establish the category shift Danon claims. “From experimental to must-have” is a statement about an entire buyer population, and no penetration rate, retention figure or measured outcome accompanies it. Enterprise agreements of this kind are also frequently structured as portfolio frameworks with per-project call-off — meaning “across the portfolio” can describe an option to deploy rather than a committed deployment. The two live projects are the substantiated part; “further expansion planned” is an intention.

    For buyers evaluating this class of tool, the honest read is that the evidence base is one of adoption, not yet of published outcome. The question to put to any vendor in the space — Buildots included — is not how many sites are instrumented but how much schedule variance narrowed after instrumentation, measured against a comparable baseline. Neither company has published that figure for these projects.

    Background

    Green Mountain designs, builds and operates data centers in Norway, Germany and the United Kingdom, marketing itself on 100% renewable power and world-leading energy efficiency. Its Norwegian footprint takes advantage of hydropower and a cool climate, both of which lower the energy cost of cooling — historically one of the largest operating expenses in the sector. Its expansion into Frankfurt places it in one of Europe’s most power- and permit-constrained data center markets.

    Buildots sells into a construction industry that has long struggled to measure in-progress work objectively, relying on contractor-reported percentages that are difficult for owners to verify. Its platform captures site conditions through 360-degree cameras and drones and compares them to design and schedule data. The company has raised $130 million and counts Turner Construction, JE Dunn, Intel, HOCHTIEF and Bouygues among its users, and has been expanding toward large, schedule-critical projects — of which AI-era data centers are now among the most numerous.

    Sources

    Source: Buildots and Green Mountain bring construction intelligence to sustainable data center projects with new enterprise deal — the September 22, 2026 announcement of an enterprise agreement, live across more than 100 megawatts of data center projects in Frankfurt and Stavanger.

  • Applied Digital’s Harwood, ND AI Data Center (Polaris Forge 2): Site, Power, Cost

    Applied Digital’s Harwood, ND AI Data Center (Polaris Forge 2): Site, Power, Cost

    TL;DR · 30-second read

    The Short Version

    Two buildings north of Fargo, North Dakota are nearly finished, and together they are bigger than the largest building in the state, an Amazon warehouse two miles away. About 1,800 workers are on site.

    The buildings will hold computers that run artificial intelligence, and they will draw about as much electricity as a small city. The local council approved the project in September 2025, and part of it is supposed to be running by the end of this year.

    The company building it, Applied Digital, has not said which businesses will rent the space.

    InForum reported that Applied Digital’s Polaris Forge 2 campus in Harwood, North Dakota is nearing completion, with roughly 1,800 workers finishing two buildings of 907,000 square feet each. The Harwood City Council approved the $3 billion project on September 10, 2025. Part of the campus is on pace to become operational by the end of 2026, with the remainder opening in early 2027, according to Nick Phillips, Applied Digital’s executive vice president of public affairs and real estate acquisition.

    The site is a 280-megawatt facility drawing power from Cass County Electric, and Applied Digital is paying $112 million for the substation and transmission upgrades that serve it. The company has not disclosed which companies will occupy the buildings. It expects 200 to 250 permanent employees once the campus opens, on 400 acres of which about 300 have been graded.

    Executive Summary

    Harwood is Applied Digital’s third North Dakota project, after Jamestown and the Polaris Forge 1 campus at Ellendale, with a fourth under construction near Center. Ellendale, announced in late 2024, is partially operational. The pattern across all four is the same wager: build large blocks of power-dense capacity in a cold, cheap-power state and race to energize them while demand for artificial intelligence compute outruns supply.

    What makes Harwood worth studying is the calendar. From a municipal approval on September 10, 2025 to first operational capacity at the end of 2026 is roughly fifteen months for a 280-megawatt campus. In a market where developers routinely quote three to five years between site control and delivered power, that interval is the entire product. “Time to power” is the industry’s shorthand for how long a tenant waits between signing and switching on machines, and it has become the variable that decides which sites win contracts.

    The unresolved half of the story is commercial rather than physical. Steel, generators, cooling loops and a substation are visible and verifiable. Leases are not. Applied Digital has not named a tenant for Harwood, has not disclosed how much of the 280 megawatts is contracted, and has not detailed how the $3 billion build is financed. Those omissions do not undermine the construction progress, but they determine whether the speed converts into revenue.

    Fifteen Months From Vote to Volts

    The construction detail in the account is mostly a lesson in sequencing. Eight generator rooms in each building hold twelve units apiece, which is 96 generators per building and 192 across the campus, a level of on-site backup that signals a design intended for tenants who will not tolerate interruption. Roughly 86,000 electrical connections and several miles of copper cable have to be terminated and tested before any of it carries load. Workers wear helmets with augmented reality systems that check whether components are installed in the right place and whether crews are tracking to schedule, which is less a gadget than an admission that verification, not fabrication, is the thing most likely to slip.

    Phillips describes the split inside each building as about 25% data halls and 75% supporting systems. That ratio is the clearest single indicator of how the economics have shifted. In a conventional enterprise facility, the computer room dominates the floor plan. In a building designed for dense artificial intelligence racks, the electrical rooms, switchgear, uninterruptible power supply gear and cooling plant swallow three-quarters of the envelope. Applied Digital is not really building a warehouse for servers. It is building a power conversion and heat rejection plant that happens to have servers in the middle of it.

    The arithmetic underlines the point. If 280 megawatts is measured at the computers, spread across roughly 453,000 square feet of data hall, that is on the order of 600 watts per square foot, an order of magnitude above the densities most existing commercial data centers were designed for. Applied Digital has not specified whether the 280-megawatt figure is the load delivered to equipment or the total drawn from the utility, and the distinction changes that number materially. Either way, the campus is firmly in the density range that only recently became buildable at scale.

    The $112 Million Sentence

    The most consequential figure in the account is not the $3 billion headline but the $112 million Applied Digital says it will pay for the substation and transmission upgrades. That is roughly $400,000 per megawatt of connection, and it is the developer, not the utility’s other customers, footing the bill. Grid connection cost allocation is the live political question in nearly every jurisdiction now absorbing large computing loads, because the alternative structure, in which network upgrades are socialized across the rate base, is what makes residents worry about their bills. Harwood drew protesters on exactly that concern.

    Applied Digital’s counter-claim is that its facilities do not raise electricity bills, and Phillips cited more than $46 million in savings for customers across North Dakota and South Dakota since the Ellendale project began. The underlying mechanism is plausible in principle: a very large, very steady customer spreads a utility’s fixed costs across more kilowatt-hours, which can lower the per-unit cost everyone pays. But the claim as stated is not yet verifiable by a reader. It does not identify which utility’s customers, over which period, measured against which counterfactual, or whether the figure is an avoided increase rather than a reduction. Those are answerable questions, and regulated utilities generally have to answer them in rate proceedings.

    It is worth being precise about what each side is arguing, because they are not arguing about the same thing. The savings claim is retrospective and concerns Ellendale. The objection at Harwood is prospective and concerns what happens when a second large load lands on a different distribution system. A past result under one set of contracts does not settle the future question, and neither does a protest settle whether the mechanism works. The $112 million commitment is the strongest evidence Applied Digital has offered that it intends to carry its own interconnection costs, which is the part of the dispute that can actually be documented.

    Air, Not Water, and Why North Dakota Rewards That Choice

    Cooling is where siting logic becomes visible. Branden Cummins, the company’s civil structure architecture superintendent, described a closed loop that circulates fluid through six data halls in each building, carries it to the roof, and uses large fans to shed the heat before recirculating it. Because the loop is sealed, Applied Digital says water consumption will be comparable to a household. That is a meaningful claim in an industry now facing real scrutiny over evaporative cooling, which chills equipment by boiling away water and can consume millions of gallons a year at this scale.

    The trade is not free. Rejecting heat to air rather than to evaporating water costs electricity for fans, and the penalty grows with ambient temperature. In a Texas or Arizona summer, that penalty is severe enough that many operators accept the water consumption instead. In eastern North Dakota, where cold hours dominate the year, the fan energy penalty is small and the water savings are close to pure gain. The closed loop is not primarily an environmental gesture; it is the design that the climate makes cheapest, and the environmental benefit follows from the geography.

    Noise and setback receive the same treatment. Silencing equipment and sound barriers on the generator plant, with the nearest home about half a mile away and the town of Harwood more than a mile off, reflect a siting choice made before mitigation was needed. Developers increasingly buy distance rather than engineer around its absence, because generator testing and rooftop fan arrays are the two complaints most likely to follow a facility through its operating life.

    A Builder Without a Named Tenant

    Applied Digital is a merchant developer, meaning it builds capacity and then leases it, as opposed to a hyperscaler building for its own use. That model turns on a single question: how much of the capacity is committed before it is energized. The company has not disclosed which companies will occupy Harwood. Until it does, an observer cannot distinguish between a campus built against signed leases and one built on conviction about demand.

    The local economics are more legible. Roughly 1,800 construction workers will give way to 200 to 250 permanent employees, a ratio close to eight to one that is typical of the sector and worth stating plainly: data centers are enormous construction projects and modest employers. The durable local benefit is tax base rather than payroll. Polaris Forge 1 at Ellendale paid about $4.3 million in property tax for 2026, Harwood is receiving no tax incentives or abatements according to the company, and Phillips estimated Applied Digital would become the largest single taxpayer in the state by 2029, while acknowledging that Harwood’s own assessment is not yet estimated because the building is not finished.

    The absence of abatements is the notable item. Large data centers are frequently recruited with property tax exemptions that hollow out the fiscal case communities were sold, and a project that forgoes them changes the arithmetic for the county. It also suggests the developer’s binding constraint was schedule rather than subsidy. When capacity delivered in 2026 is worth materially more than the same capacity delivered in 2029, a year of negotiation over abatements costs more than the abatements are worth.

    Background

    Applied Digital is a Texas-based developer that builds and leases data center capacity rather than operating computing services itself, a model the industry calls merchant development. Its North Dakota expansion began with a facility in Jamestown, followed by the Polaris Forge 1 campus at Ellendale announced in late 2024 and now partially operational, the Harwood project approved in September 2025, and a fourth site under construction near Center, about 40 miles northwest of Bismarck.

    The expansion tracks a broader shift in where computing gets built. Training and running large artificial intelligence models requires racks that consume several times the power of conventional servers, which has turned electrical capacity, rather than fiber or floor space, into the binding constraint on the industry. Developers have responded by moving to regions with available generation, cold climates that reduce cooling costs, and utilities able to energize large loads quickly. That has brought industrial-scale construction to rural communities with no prior exposure to it, along with recurring local debates over electricity rates, noise, water and tax base that Harwood has seen in full.

    Sources

    Source: An inside look at the Harwood data center as it nears completion — InForum’s report from Applied Digital’s Polaris Forge 2 construction site in Harwood, North Dakota, with detail on schedule, power, cooling, staffing and taxes from company executives.

  • Skanska Wins CZK 2.1 Billion Contract to Build Data Center Near Prague

    Skanska Wins CZK 2.1 Billion Contract to Build Data Center Near Prague

    Skanska, the Swedish construction group, has signed a contract with CRA Prague Gateway DC to build a new data center on the outskirts of Prague, Czechia. The contract is worth CZK 2.1 billion (about SEK 930M) and will be recorded in Skanska’s European order bookings for the third quarter of 2026. Work begins in August 2026, with completion scheduled for 2028.

    Executive Summary

    The scope covers complete construction plus non-IT technologies — the mechanical, electrical, and building systems that make a data center run, as distinct from the servers and networking gear a future operator or tenants would install. The initial phase is foundational in the literal sense: site infrastructure, foundation structures, and the load-bearing precast concrete skeleton of the building.

    The announcement matters less for its absolute size than for what it signals. A nine-figure (in euro terms) data-center construction contract in Czechia — outside the traditional Frankfurt, London, Amsterdam, Paris, and Dublin (FLAP-D) hubs — is another data point that Europe’s data-center buildout is pushing into secondary markets, where power, land, and permitting are often easier to secure than in the saturated core hubs.

    The release is brief, however. It names no capacity figures, no anchor tenants, and offers no detail on the client beyond its name. Readers should treat this as a construction-order announcement, not a full project reveal.

    Secondary Markets Are Absorbing Europe’s Data-Center Overflow

    For two decades, European data-center demand concentrated in the FLAP-D metros, where connectivity density and customer proximity justified premium costs. That model is under strain: grid connection queues, land scarcity, and in some cities outright moratoria on new facilities have pushed developers toward secondary markets. Prague fits the profile — a central European capital with strong fiber connectivity to Frankfurt and Vienna, an established enterprise base, and comparatively more headroom for new construction.

    A CZK 2.1 billion construction contract will not by itself reorder the European map. But contractor order books are a useful leading indicator of where capacity is actually being built, because construction contracts get signed after land, financing intent, and at least preliminary planning are in place. This contract says a substantial facility near Prague has cleared those early hurdles.

    What the Contract Structure Reveals — and Conceals

    Skanska’s scope of “complete construction and non-IT technologies” describes a shell-plus-fit-out arrangement common in the sector: the contractor delivers the building and its supporting systems, while IT equipment comes later and separately. The phased structure — starting with site works, foundations, and the precast concrete skeleton — is also typical for projects where later phases may be released as demand or financing firms up.

    What the release does not disclose is arguably more interesting. There is no megawatt capacity, no floor area, no power-sourcing arrangement, and no indication of whether the facility is speculative or anchored by committed tenants. The CZK 2.1 billion figure covers Skanska’s construction contract, not the total project cost, which would also include land, IT fit-out, and grid connection. Without those figures, the project’s true scale can’t be benchmarked against other European builds.

    A Growing Data-Center Franchise for a Traditional Builder

    For Skanska, the contract extends a visible push into data-center construction. The same wire feed carries a separate Skanska announcement of four data centers in the southeastern United States worth USD 1.2 billion — an order roughly twelve times the Prague contract’s value. For diversified builders, data centers have become a prized segment: technically demanding, repeatable for hyperscale and colocation clients, and backed by capital expenditure cycles that have so far proven resilient.

    The competitive implication cuts both ways. Construction capacity — skilled mechanical and electrical trades in particular — is one of the buildout’s real bottlenecks, and contractors with proven data-center delivery records can command strong pipelines. But that same scarcity means schedule risk. A 2028 completion date leaves a multi-year window in which labor, materials, and grid-connection timelines all have to cooperate.

    Background

    Skanska, headquartered in Stockholm, is one of the world’s largest construction and development companies, with a long record in commercial and infrastructure projects across Europe and North America. Like several major contractors, it has built a growing franchise in data-center construction as cloud and AI demand drives one of the largest capital-expenditure waves in the industry’s history.

    Europe’s data-center market has historically centered on the FLAP-D hubs — Frankfurt, London, Amsterdam, Paris, and Dublin — but power availability and land constraints there have redirected new development toward secondary markets across central, southern, and northern Europe. Czechia, with Prague as its connectivity anchor, is among the markets positioned to absorb that overflow.

    Source: Skanska to build datacenter near Prague, Czechia, for CZK 2.1 billion, about SEK 930M — Skanska press release via PR Newswire, August 24, 2026, announcing a data-center construction contract with CRA Prague Gateway DC.

  • Skanska Signs $1.2B Deal to Build Four Data Centers in the Southeast US

    Skanska Signs $1.2B Deal to Build Four Data Centers in the Southeast US

    Swedish construction group Skanska announced on August 20, 2026 that it has signed a contract with an existing client to build four new data centers in the southeast United States. The contract is worth USD 1.2 billion (about SEK 11.2 billion) and will be booked in Skanska’s US order bookings for the third quarter of 2026.

    The four facilities total approximately 75,000 square meters (808,000 square feet). Skanska’s scope covers the building shell plus interior fit-out for technical spaces, support areas, and offices. Construction begins in the third quarter of 2026 and is expected to finish in the third quarter of 2028.

    Executive Summary

    Skanska’s announcement is short on specifics — the client, the exact locations, and the facilities’ power capacity are all undisclosed — but the headline numbers tell a clear story: a single customer is committing to four buildings at once, worth $1.2 billion in construction value alone, on a two-year delivery clock. That is a program, not a project, and it reflects how hyperscale and large-enterprise data center buyers now procure capacity in multi-site batches rather than one building at a time.

    The deal also reinforces the southeast US as a serious data center growth corridor. As land, power interconnection queues, and community pushback tighten conditions in established hubs like Northern Virginia, developers have increasingly looked south for available land, comparatively faster utility timelines, and business-friendly permitting. A four-facility award in the region — from a repeat client, no less — suggests that migration of demand is continuing.

    For the construction industry, the contract underscores that data centers have become a core revenue engine for major contractors. Skanska separately announced an additional $238 million data center contract in Virginia, indicating a pipeline of repeat data center work across multiple US regions.

    A Program Buy, Not a Building Buy

    The most telling detail in this release is not the dollar figure but the structure: one client, four facilities, one contract. Data center customers with large, predictable capacity needs — typically cloud platforms, AI companies, or the developers who serve them — increasingly bundle construction into multi-site programs. Bundling locks in contractor capacity, standardizes designs across sites, and compresses delivery schedules, all of which matter when the constraint on growth is how fast physical capacity can be stood up rather than how much capital is available.

    The ‘existing client’ framing matters too. Repeat awards are how construction firms build durable data center franchises: a contractor that has already delivered for a customer carries proven designs, familiar subcontractor networks, and established safety and quality track records into the next award. For Skanska, converting one relationship into a four-building, $1.2 billion follow-on is evidence that this flywheel is working — though it also concentrates revenue exposure in a single customer relationship, a tradeoff worth noting.

    Why the Southeast, and What It Strains

    The southeast US has become one of the fastest-growing data center regions because the traditional hubs are congested. Northern Virginia — the world’s largest data center market — faces multi-year waits for grid interconnection (the process of getting a utility to deliver large blocks of power to a new site), rising land costs, and local zoning battles. States across the southeast have courted the industry with available land, tax incentives, and utilities willing to plan for large new loads.

    But four facilities landing at once in one region illustrates the strain this growth creates. Data centers are extraordinarily power-dense buildings, and every new campus adds load that regional utilities must generate, transmit, and balance. Meanwhile, the specialized trades that data center construction depends on — electricians, mechanical fitters, controls technicians — are in short supply nationally, and the southeast’s simultaneous boom in chip plants, battery factories, and other industrial projects competes for the same workers. The release does not say how these projects will be powered or staffed, and those are precisely the variables that determine whether a Q3 2028 completion date holds.

    The Economics of Shell and Fit-Out

    Skanska’s scope — shell construction plus interior fit-out of technical, support, and office spaces — works out to roughly $300 million per building, or on the order of $1,500 per square foot across the 808,000-square-foot program based on the disclosed figures. That is far above typical commercial construction costs, which reflects what a data center actually is: the building is effectively a machine, dense with structural, electrical, and mechanical infrastructure long before any servers arrive. It is worth remembering that construction cost is only one layer of total project cost; the IT equipment the eventual owner installs typically represents a further large investment not captured in a construction contract.

    For Skanska, the award lands in Q3 2026 order bookings, giving investors a concrete signal about the health of its US commercial pipeline. For the broader market, it is one more data point that data center construction spending remains robust — a useful counterweight to periodic debate about whether AI-driven infrastructure investment is decelerating. One contract cannot settle that debate, but a repeat client committing to four buildings through 2028 is not the behavior of a customer pulling back.

    Background

    Skanska, founded in Sweden and headquartered in Stockholm, is one of the world’s largest construction and development companies, with the United States among its most important markets. Data centers have become a growing line of business for major contractors as cloud and AI operators race to add physical capacity; alongside this award, Skanska announced a further $238 million data center contract in Virginia and a $957 million light rail contract in California, illustrating the breadth of its US order book.

    The US data center market has historically concentrated in hubs like Northern Virginia, but constraints on power, land, and permitting there have pushed a growing share of new development into the southeast, where utilities and state governments have actively courted the industry. Multi-building, single-client construction programs like this one have become a hallmark of how hyperscale capacity is now procured.

    Source: Skanska builds data centers in southeast USA worth USD 1.2 billion, about SEK 11.2 billion — Skanska press release via PR Newswire, August 20, 2026, announcing a four-facility data center construction contract with an existing client.

  • Bank of America Institute Calls Data Center Construction a Resource Shock

    Bank of America Institute Calls Data Center Construction a Resource Shock

    The Bank of America Institute, the research arm of Bank of America that publishes economic analysis drawn from the bank’s data and economists, released a report on June 2, 2026 characterizing the ongoing wave of data center construction as a “resource shock.” The framing points to strain across the three inputs every large-scale digital infrastructure project competes for: skilled construction labor, building materials and electrical equipment, and electric power supply.

    Executive Summary

    When a major bank’s in-house think tank labels an investment cycle a “resource shock,” it is making an economic claim, not just a descriptive one. A resource shock is a sudden shift in demand for inputs that outruns the supply side’s ability to respond, pushing up prices and lead times for everyone competing for the same resources. Applied to data centers, the term asserts that the AI-driven construction boom is no longer just a story about one industry’s capital spending — it is large enough to move markets for electricians, transformers, generators, concrete, steel, and grid capacity.

    That matters because the effects of a resource shock do not stay contained. Other construction sectors — housing, manufacturing plants, public infrastructure — draw on the same labor pools and equipment supply chains. Utilities planning grid investments must now weigh data center load requests against other customers. For an institution with Bank of America’s lending and card-spending visibility into the real economy, elevating this to a formal research theme signals that the strain is showing up in measurable economic data, not just industry anecdote.

    Why a Bank Is Sounding This Note

    The Bank of America Institute exists to translate the bank’s proprietary vantage point — payments flows, commercial lending, economic research — into public analysis. Its choice of subject is itself informative: research arms of large banks tend to formalize themes their client-facing businesses are already encountering, such as construction lenders seeing bid inflation or corporate clients reporting equipment delays. A “resource shock” framing suggests the institute sees data center demand as a macroeconomic force rather than a niche real-estate story.

    It also reflects where the money is going. Data centers have shifted from a specialized corner of commercial real estate to one of the most capital-intensive construction categories in the United States, propelled by hyperscale cloud providers and AI infrastructure buildouts. When a single project can require hundreds of megawatts of power and years of specialized electrical work, a national pipeline of such projects mechanically competes with everything else being built.

    The Three Bottlenecks: Labor, Materials, Power

    The report’s headline identifies the three constraints practitioners consistently cite. Labor is the most immediate: data centers need unusually high concentrations of electricians, pipefitters, and mechanical trades, and those skills take years to develop. Materials and equipment form the second constraint — long-lead electrical gear such as transformers, switchgear, and backup generators has been the industry’s chronic pain point, with order backlogs measured in years at various points in this cycle.

    Power is the deepest constraint because it is the slowest to fix. A data center is ultimately a machine for converting electricity into computation, and connecting large new loads requires generation and transmission investments that operate on utility timescales — often five to ten years for major grid upgrades. This is why power availability, more than land or capital, has become the primary siting criterion for new facilities.

    Winners, Losers, and the Cost Question

    A resource shock redistributes advantage. Operators with land already secured, grid interconnection agreements signed, and equipment orders placed hold assets that are increasingly difficult to replicate — which supports valuations for incumbent data center platforms. Electrical contractors, equipment manufacturers, and utilities with capacity to sell are on the receiving end of the demand surge. The squeezed parties are those competing for the same inputs without data-center-scale budgets: other construction sectors facing higher trade wages and equipment prices, and potentially ordinary ratepayers if grid upgrade costs are socialized across utility customers rather than assigned to the large loads that drive them.

    For enterprises buying colocation or cloud capacity, the practical translation is that scarcity flows through to pricing and lead times. When new supply is gated by labor, equipment, and power, existing capacity commands a premium — a dynamic already visible in historically low vacancy rates across major data center markets. Fair questions run in both directions, though: resource-shock framings can also overstate permanence if demand forecasts prove optimistic or if supply responds faster than expected, as it eventually did in previous infrastructure cycles.

    Background

    Data centers — the specialized buildings that house the servers behind cloud services, websites, and AI systems — have grown from a niche real-estate category into one of the largest construction stories in the United States. The acceleration began with cloud computing in the 2010s and intensified sharply after 2022, when the generative AI boom pushed hyperscale operators and AI companies into a race for computing capacity, with individual campuses now sized in the hundreds of megawatts. The Bank of America Institute, launched by the bank in 2022 as a public-facing research arm, has made the economic ripple effects of this buildout a recurring subject, and its June 2026 report places the construction surge in macroeconomic terms: as a demand shock hitting labor, materials, and power markets simultaneously.

    Source: Data center construction creates a resource shock — Bank of America Institute, a research report characterizing the data center construction boom as a strain on labor, materials, and power supply.

  • Generac Signs Global Backup Power Deal With Unnamed Hyperscale Data Center Operator

    Generac Signs Global Backup Power Deal With Unnamed Hyperscale Data Center Operator

    Generac Power Systems announced on June 1, 2026 that it has signed a global supply agreement to provide backup power equipment to a company it describes as a leading hyperscale data center operator. The customer was not named, and the announcement, distributed via PR Newswire, did not disclose financial terms, unit volumes, or a delivery timeline.

    Executive Summary

    The announcement matters less for its disclosed details — which are minimal — than for what it signals about both parties. For Generac, a company best known for residential standby generators, a global agreement with a hyperscaler is a credibility milestone in the large commercial and industrial power market, where data centers have become the most sought-after customer class. Hyperscalers — the handful of companies operating cloud and AI computing platforms at global scale — historically sourced backup generation from a small set of heavy-industrial incumbents.

    For the data center industry, the deal is another data point in a broader pattern: operators locking in multi-year, multi-region supply of critical electrical equipment rather than procuring project by project. When a hyperscaler signs a global agreement for backup power, it suggests that generator capacity, like transformers and switchgear before it, is now scarce enough to justify strategic sourcing. That framing should be tempered by what the release does not say — no customer name, no dollar value, no megawatt figure — which limits how much weight the announcement can bear.

    Backup Power Moves From Commodity to Constraint

    Every serious data center pairs its utility feed with on-site backup generation — typically large diesel or natural gas generator sets that carry the facility through grid outages. For most of the industry’s history this was routine procurement: generators were a mature, readily available product bought near the end of a project’s design cycle. The AI-driven construction boom changed that. As operators race to bring gigawatts of new capacity online, long-lead electrical equipment — transformers, switchgear, and increasingly generator sets — has become a pacing item that can delay a facility as surely as a missing utility interconnection.

    A global supply agreement is the procurement response to that scarcity. Instead of bidding each project separately, an operator reserves manufacturing capacity across regions and years, trading flexibility for certainty of delivery. The fact that a hyperscaler apparently judged this worthwhile for backup power is itself evidence of how tight the market has become, and it mirrors similar forward-buying behavior seen across the data center supply chain.

    What the Deal Means for Generac

    Generac built its business on home standby generators and mid-sized commercial units, while the largest data center generator orders have traditionally gone to heavy-industrial manufacturers such as Caterpillar, Cummins, and Rolls-Royce’s mtu brand. Generac has spent recent years pushing into larger industrial applications, and a hyperscale win — if it translates into sustained volume — would validate that strategy in the most demanding segment of the market. Hyperscale operators qualify suppliers rigorously, so passing that bar is meaningful even before any units ship.

    The caution is that the release discloses no volumes or revenue. Supply agreements can range from firm multi-year commitments to framework arrangements that simply make a vendor eligible for future orders. Without disclosed terms, investors and industry observers cannot yet distinguish between the two, and the announcement should be read as a positive signal rather than a quantified backlog addition.

    Why Hyperscalers Are Diversifying Their Supplier Base

    From the buyer’s side, adding a supplier makes straightforward sense. When incumbent generator manufacturers carry extended backlogs, a hyperscaler that depends on a narrow vendor list risks having construction schedules dictated by someone else’s factory queue. Qualifying an additional manufacturer at global scale adds resilience, creates pricing competition, and expands total available manufacturing capacity — the same playbook hyperscalers have applied to chips, power equipment, and construction contractors.

    The competitive implication for the wider market is worth watching: enterprise and colocation buyers, who lack hyperscale purchasing power, may find themselves further back in the queue as manufacturers allocate capacity to their largest strategic accounts. Backup power availability could quietly become another dimension on which the largest operators out-execute smaller ones.

    Background

    Generac Power Systems, founded in 1959 and headquartered in Waukesha, Wisconsin, became a household name in residential standby generators — the units that keep homes powered through grid outages. Over the past decade it has expanded into commercial and industrial generation, energy storage, and grid services, seeking growth beyond the housing-linked residential market. The largest tier of that industrial market is data center backup power, a segment long dominated by heavy-equipment incumbents.

    The announcement lands amid an unprecedented data center construction cycle driven by cloud growth and AI computing demand. That boom has strained the supply chains for electrical infrastructure of every kind, prompting the biggest operators to lock in equipment supply years ahead — the context in which a global backup power agreement with a hyperscaler is best understood.

    Source: Generac Signs Global Supply Agreement with Leading Hyperscale Data Center Operator to Supply Backup Power — PR Newswire release, June 1, 2026, announcing Generac’s backup power supply agreement with an unnamed hyperscale data center operator.

  • AI Data Centers Need 36x More Fiber as Glass Shortage Stretches Lead Times

    AI Data Centers Need 36x More Fiber as Glass Shortage Stretches Lead Times

    Industry reporting published May 15, 2026 by Tom’s Hardware says AI data centers require roughly 36 times more optical fiber than facilities designed around standard servers, and that severe shortages of the specialty glass used to make fiber have pushed cable lead times out to as much as a full year.

    Executive Summary

    The headline claim is stark: an AI-optimized data center consumes on the order of 36 times the fiber optic cabling of a conventional server hall, according to the report. That multiplier reflects how modern GPU clusters are built — thousands of accelerators wired to each other through dense optical network fabrics, rather than rows of independent servers that mostly talk to the outside world.

    The second half of the story is the supply chain’s response. Optical fiber begins as ultra-pure glass, and the report says shortages of that glass are now severe enough that cable orders can take a year to fill. If accurate, that puts fiber alongside GPUs, power equipment, and cooling gear on the list of long-lead items that determine when an AI facility can actually come online — a bottleneck that gets far less attention than chips or megawatts, but can stall a build just as effectively.

    Why AI Clusters Devour Fiber

    In a traditional data center, most traffic is “north-south”: requests come in from the internet, a server answers, and the response goes back out. AI training clusters invert that pattern. Training a large model requires thousands of GPUs to exchange intermediate results with each other constantly — so-called “east-west” traffic — over network fabrics where every accelerator may need a high-bandwidth path to many others.

    Those paths run over optical transceivers and fiber because copper cabling cannot carry the required bandwidth beyond a few meters. Multiply high port counts per GPU by tens of thousands of GPUs, add multiple network planes (compute fabric, storage, management), and the cabling bill grows geometrically rather than linearly. A 36x multiplier versus a standard-server design is a dramatic figure, but the architectural logic behind heavy fiber consumption in AI facilities is well established, even though the report does not detail how that specific number was derived.

    A Supply Chain Built for a Different Era

    Optical fiber is drawn from glass preforms — cylinders of extremely pure silica manufactured in specialized, capital-intensive plants. That production base was scaled for telecom demand: long-haul networks, broadband buildouts, and steady data center growth. It was not sized for a scenario in which single campuses consume fiber volumes previously associated with regional networks.

    Capacity of this kind does not flex quickly. New preform and draw capacity takes significant time and investment to bring online, and manufacturers burned by past boom-bust cycles in fiber tend to expand cautiously. That is how demand shocks turn into year-long lead times: the report’s claim of severe glass shortages is consistent with a supply base that responds in years while demand is compounding in quarters, though the report itself does not identify which producers are constrained or how long the shortfall may last.

    Another Hidden Gate on the AI Buildout

    The AI infrastructure race has repeatedly been slowed less by capital than by unglamorous physical inputs: grid interconnections, transformers, generators, chillers — and now, potentially, cabling. A data center with power, cooling, and GPUs on the floor still cannot train models if the fabric connecting those GPUs is stuck in an order backlog. For builders, that makes fiber a schedule-critical procurement item to be locked in early, not a finishing detail ordered late in construction.

    If lead times hold at a year, the likely effects are familiar from other constrained components: large buyers with forecasting muscle and framework agreements absorb available supply, smaller operators and enterprises face longer waits or higher prices, and fiber and cable manufacturers gain pricing power and a rationale for capacity expansion. The caveat is that this is a single report; buyers should verify current lead times with their own suppliers rather than treating the year figure as universal.

    Background

    Optical fiber has been the workhorse of global connectivity since the 1980s, and the industry has weathered demand cycles before — most notably the telecom boom and bust of the early 2000s, which left manufacturers wary of overbuilding capacity. Inside data centers, fiber’s role grew steadily as network speeds passed the limits of copper, but conventional facilities still used it relatively sparingly.

    The generative AI buildout that accelerated from 2023 onward changed the equation. Training clusters grew from hundreds to tens of thousands of GPUs, each demanding multiple high-bandwidth optical connections, while hyperscalers and specialist operators announced multi-gigawatt campuses worldwide. That put unprecedented demand on every physical input to a data center — power equipment, cooling, chips, and, as this report highlights, the glass and cable that tie the machines together.

    Source: AI data centers require 36 times more fiber than designs with standard servers — severe glass shortages push cable lead times out to a full year, Tom’s Hardware, May 15, 2026 — a report on AI-driven fiber demand and optical glass supply constraints.